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Model: Jasonnn13/SmolLM2-FT-MyDataset Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: HuggingFaceTB/SmolLM2-135M
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tags:
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- smol-course
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- module_1
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- trl
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- sft
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: SmolLM2-FT-MyDataset
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# SmolLM2-FT-MyDataset
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9266
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- training_steps: 1000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.0161 | 0.0982 | 50 | 1.0429 |
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| 0.9943 | 0.1965 | 100 | 1.0086 |
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| 0.953 | 0.2947 | 150 | 0.9906 |
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| 0.9561 | 0.3929 | 200 | 0.9802 |
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| 0.9585 | 0.4912 | 250 | 0.9699 |
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| 0.9394 | 0.5894 | 300 | 0.9597 |
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| 0.9284 | 0.6876 | 350 | 0.9535 |
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| 0.9237 | 0.7859 | 400 | 0.9462 |
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| 0.8945 | 0.8841 | 450 | 0.9402 |
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| 0.9043 | 0.9823 | 500 | 0.9348 |
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| 0.7479 | 1.0806 | 550 | 0.9421 |
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| 0.805 | 1.1788 | 600 | 0.9388 |
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| 0.7359 | 1.2770 | 650 | 0.9382 |
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| 0.7437 | 1.3752 | 700 | 0.9365 |
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| 0.7778 | 1.4735 | 750 | 0.9336 |
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| 0.7678 | 1.5717 | 800 | 0.9317 |
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| 0.7452 | 1.6699 | 850 | 0.9301 |
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| 0.7373 | 1.7682 | 900 | 0.9279 |
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| 0.738 | 1.8664 | 950 | 0.9269 |
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| 0.7513 | 1.9646 | 1000 | 0.9266 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.10.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.19.1
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config.json
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config.json
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{
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"_name_or_path": "HuggingFaceTB/SmolLM2-135M",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"num_hidden_layers": 30,
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"rope_theta": 100000,
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"tie_word_embeddings": true,
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"torch_dtype": "float32",
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"use_cache": true,
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"vocab_size": 49152
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}
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generation_config.json
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merges.txt
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model.safetensors
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training_args.bin
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training_args.bin
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vocab.json
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